Biomolecular Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
Nat Protoc. 2010 Jun;5(6):1005-18. doi: 10.1038/nprot.2010.50.
The production of 'global' metabolite profiles involves measuring low molecular-weight metabolites (<1 kDa) in complex biofluids/tissues to study perturbations in response to physiological challenges, toxic insults or disease processes. Information-rich analytical platforms, such as mass spectrometry (MS), are needed. Here we describe the application of ultra-performance liquid chromatography-MS (UPLC-MS) to urinary metabolite profiling, including sample preparation, stability/storage and the selection of chromatographic conditions that balance metabolome coverage, chromatographic resolution and throughput. We discuss quality control and metabolite identification, as well as provide details of multivariate data analysis approaches for analyzing such MS data. Using this protocol, the analysis of a sample set in 96-well plate format, would take ca. 30 h, including 1 h for system setup, 1-2 h for sample preparation, 24 h for UPLC-MS analysis and 1-2 h for initial data processing. The use of UPLC-MS for metabolic profiling in this way is not faster than the conventional HPLC-based methods but, because of improved chromatographic performance, provides superior metabolome coverage.
“全球”代谢物图谱的产生涉及测量复杂生物流体/组织中的低分子量代谢物(<1 kDa),以研究对生理挑战、毒性刺激或疾病过程的反应中的干扰。需要信息丰富的分析平台,如质谱(MS)。在这里,我们描述了超高效液相色谱-MS(UPLC-MS)在尿代谢物图谱中的应用,包括样品制备、稳定性/储存以及平衡代谢组覆盖度、色谱分辨率和通量的色谱条件选择。我们讨论了质量控制和代谢物鉴定,以及提供了用于分析此类 MS 数据的多元数据分析方法的详细信息。使用此方案,在 96 孔板格式的样品集中进行分析,大约需要 30 小时,包括 1 小时用于系统设置、1-2 小时用于样品制备、24 小时用于 UPLC-MS 分析和 1-2 小时用于初始数据处理。以这种方式使用 UPLC-MS 进行代谢物图谱分析并不比基于传统 HPLC 的方法更快,但由于色谱性能的提高,提供了更好的代谢组覆盖度。